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Reid Daavettila Elite Prospects ↗

Position: Forward DOB: 2005-05-04 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
No commitment set

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NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2021-22 Lincoln Stars USHL 2 0 0 0 0.000 — — — —
2022-23 Minnesota Wilderness NAHL 59 5 13 18 0.305 0.1209 0.1323 0.3203 0.3504
2023-24 Fargo Force USHL 62 15 15 30 0.484 0.2975 0.2978 1.4257 1.4269
2024-25 Waterloo Black Hawks USHL 59 12 20 32 0.542 0.3334 0.3167 1.5980 1.5178
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Michigan Tech D1 CCHA FR 30 1 7 8 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.27
2025-26 · Michigan Tech
0.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
8%
NCAA D2/D3
28%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#18363
Forward overall
#982
Forward born in 2005
#1842
in USHL

D1 Comparables

Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.35 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Ryan Bloom
New England · 2012-13
1.654 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2008-09
0.893 Strong
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.